利用粗集约简挖掘生产调度决策规则

Mining method for manufacture schedule with rough set reduction

生产调度是一个复杂的决策过程,其复杂性体现在决策过程中需要考虑众多因素。如果用计算机代替人进行生产调度,计算机必须能够学习人的调度行为,也就是从众多调度实例中提取规则。构建了一个基于粗集的调度规则提取方法,并通过实例说明其有效性。

Manufacture schedule is a complex decision-making procedure because of numerous factors should be considered when scheduling.To make the computer capable of scheduling,it should learn the manager＇s scheduling behavior,which means abstracting scheduling rules from historical scheduling cases.This paper proposes a rough set-based method of abstracting rules, and validates it with an example.